Evaluation of sediment yield in PSIAC and MPSIAC models by using GIS at Toroq Watershed, Northeast of Iran

doi:10.1007/s11707-011-0189-7

Front Earth Sci

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Issue () : 83-94 https://doi.org/10.1007/s11707-011-0189-7

RESEARCH ARTICLE

Evaluation of sediment yield in PSIAC and MPSIAC models by using GIS at Toroq Watershed, Northeast of Iran

Mohammad Reza Mansouri Daneshvar¹, Ali Bagherzadeh²(

)

1. Department of Geography, Mashhad Branch, Islamic Azad University, Mashhad, Iran; 2. Department of Agriculture, Mashhad Branch, Islamic Azad University, Mashhad, Iran

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Abstract

Regarding the importance of watersheds in arid and semi-arid regions, it is necessary to better protect water supplies such as dam reservoirs. The most efficient way of conserving water sources is to apply proper management to decrease erosion and sedimentation. The first step of this process is to be aware of sediment yield (Q_s)/production and identify erosive zones in upper reach of reservoirs. The present study aims to evaluate Q_s and production in Pacific Southwest Inter-Agency Committee (PSIAC) and modified PSIAC (MPSIAC) models by using satellite data, GIS analysis, and field observations. According to the results, the study area can be categorized into five erosive classes: very high, high, moderate, low and negligible. The east part of the watershed is slightly eroded due to its hard surface geology and relatively flat topography characteristics, while the northern and southern parts of the basin are highly eroded because of the high erodibility potential of soil and intensive cultivation of the area. A comparison of the output maps from PSIAC and MPSIAC models showed that the calculated Q_s in most parts correspond well in both models and with field observations. The results of regression between main determining factors (surface geology, soil, topography and land cover) and Q_s derived from each model indicated moderate to strong correlation coefficient (R² = 0.436-0.996 to 0.893-0.998) after PSIAC and MPSIAC models, respectively.

Keywords evaluation of sediment yield (Q_s) erodible factors Pacific Southwest Inter-Agency Committee (PSIAC) and modified PSIAC (MPSIAC) models sediment production GIS Toroq Watershed Northeast of Iran

Corresponding Author(s): Bagherzadeh Ali,Email:abagher_ch@yahoo.com

Issue Date: 05 March 2012

Cite this article:

Mohammad Reza Mansouri Daneshvar,Ali Bagherzadeh. Evaluation of sediment yield in PSIAC and MPSIAC models by using GIS at Toroq Watershed, Northeast of Iran[J]. Front Earth Sci, 0, (): 83-94.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-011-0189-7
https://academic.hep.com.cn/fesci/EN/Y0/V/I/83

Fig.1 Location and geographical position of the study area

Fig.2 Satellite image (a), surface geology (b), soil and land units (c) and isohyet map (d) of the study area

Tab.1 Effective factors on erosion and and their ranking values in PSIAC model

Tab.2 Sediment class and after total ranking values of nine factors in PSIAC and MPSIAC models

Fig.3 Isotherm map (a), runoff potential (b), topography and elevation (c) and land slope map (d) of the study area

Fig.4 Land cover (a), land use (b), upland erosion potential (c) and channel erosion potential (d) of the study area

Tab.3 Attributions of nine factors and scores by the PSIAC model at the study area

Tab.4 Attributions of nine factors and scores by the MPSIAC model at the study area

Tab.5 , total sediment production and soil losses of each sediment class at the study area resulted from PSIAC and MPSIAC models

Tab.6 Average of total ranking values, the area and the percentage of each sediment class from total surface area, resulted from PSIAC and MPSIAC models

Tab.7 Correlation between PSIAC and MPSIAC models with main determining factors (surface geology, soil, topography and land cover) on annual at the study area

Fig.5 zoning based on PSIAC (a) and MPSIAC (b) models at the study area

Fig.6 Sediment classes and percentage of each sediment class from total sediment production resulted from PSIAC and MPSIAC models

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